RRepoGEO

REPOGEO REPORT · LITE

biobootloader/wolverine

Default branch main · commit 9418f0fe · scanned 6/27/2026, 5:57:59 PM

GitHub: 5,077 stars · 614 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

AI VISIBILITY SCORE
30 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 fail
Objective metadata checks
AI knows your name
3 / 3
Direct prompts that named your repo
HOW TO READ THIS REPORT

Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface biobootloader/wolverine, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.

Action plan — copy-paste fixes

2 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highhomepage#1
    Add homepage link to the successor project

    Why:

    COPY-PASTE FIX
    https://github.com/AbanteAI/mentat
  • mediumreadme#2
    Refine README 'About' section for AI clarity on its original purpose

    Why:

    CURRENT
    Give your python scripts regenerative healing abilities! Run your scripts with Wolverine and when they crash, GPT-4 edits them and explains what went wrong. Even if you have many bugs it will repeatedly rerun until it's fixed.
    COPY-PASTE FIX
    Wolverine was an experimental AI tool designed to give Python scripts 'regenerative healing abilities.' It used GPT-4 to automatically edit and fix runtime errors in Python code, explaining the changes and iteratively rerunning until bugs were resolved. This project is now DEPRECATED; please see Mentat (https://github.com/AbanteAI/mentat) for the actively maintained successor.

Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

Category visibility — the real GEO test

Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?

Same questions for every model — switch tabs to compare answers and rankings.

Recall
0 / 2
0% of queries surface biobootloader/wolverine
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
GitHub Copilot
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. GitHub Copilot · recommended 2×
  2. DeepCode AI · recommended 2×
  3. OpenAI GPT-4 · recommended 1×
  4. pylint-dev/pylint · recommended 1×
  5. PyCQA/flake8 · recommended 1×
  • CATEGORY QUERY
    How can I automatically fix runtime errors in my Python scripts using AI?
    you: not recommended
    AI recommended (in order):
    1. GitHub Copilot
    2. OpenAI GPT-4
    3. Pylint (pylint-dev/pylint)
    4. Flake8 (PyCQA/flake8)
    5. Black (psf/black)
    6. Sentry
    7. Rollbar
    8. Datadog
    9. DeepCode AI
    10. Code-Llama
    11. StarCoder

    AI recommended 11 alternatives but never named biobootloader/wolverine. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Tool to automatically correct Python code errors and explain fixes with an LLM?
    you: not recommended
    AI recommended (in order):
    1. Pylint
    2. Black
    3. Ruff
    4. DeepCode AI
    5. Snyk Code
    6. GitHub Copilot
    7. Cursor IDE
    8. Jedi

    AI recommended 8 alternatives but never named biobootloader/wolverine. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    fail

    Suggestion:

  • README presence
    pass

Self-mention check

Does AI even know your repo exists when asked about it directly?

  • Compared to common alternatives in this category, what is the core differentiator of biobootloader/wolverine?
    pass
    AI named biobootloader/wolverine explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • If a team adopts biobootloader/wolverine in production, what risks or prerequisites should they evaluate first?
    pass
    AI named biobootloader/wolverine explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • In one sentence, what problem does the repo biobootloader/wolverine solve, and who is the primary audience?
    pass
    AI named biobootloader/wolverine explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

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biobootloader/wolverine — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite